Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 444910444.0  2479  0.876
    : 444910453.0  2406  0.853
    : 444910455.0  2901  0.889
    : 444913343.0  3244  0.973
    : 444915762.0  2904  0.886
    Total number of 1 second bins: 7568
    Bins with >0 counts          : 7333
    Bins with >2000 counts       : 5
    5 of 5 high count rate bins were dominated by noise
    Noise dominated 0.07% of total time, 0.07% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 444908828.0  2197  0.853
    : 444908829.0  2018  0.860
    : 444908830.0  2313  0.879
    : 444908837.0  2210  0.806
    : 444908838.0  2217  0.869
    : 444908843.0  2027  0.834
    : 444908844.0  2008  0.809
    : 444908845.0  2122  0.802
    : 444908847.0  2595  0.849
    : 444908849.0  2029  0.858
    : 444908889.0  2445  0.863
    : 444908896.0  2363  0.846
    : 444908899.0  2172  0.854
    : 444908900.0  3019  0.894
    : 444908901.0  2391  0.903
    : 444908905.0  2091  0.829
    : 444908906.0  2036  0.808
    : 444908914.0  2187  0.860
    : 444908917.0  2134  0.851
    : 444908923.0  2031  0.823
    : 444908930.0  2045  0.826
    : 444908931.0  2805  0.906
    : 444908952.0  2196  0.837
    : 444908956.0  2197  0.820
    : 444908959.0  2232  0.837
    : 444908960.0  2190  0.843
    : 444908961.0  2111  0.822
    : 444908963.0  2106  0.820
    : 444908973.0  2128  0.810
    : 444908976.0  2507  0.851
    : 444908978.0  2049  0.831
    : 444908990.0  2094  0.868
    : 444908992.0  2288  0.858
    : 444908995.0  2175  0.829
    : 444909002.0  2044  0.844
    : 444909004.0  2147  0.835
    : 444909005.0  2146  0.871
    : 444909010.0  2274  0.854
    : 444909011.0  2691  0.920
    : 444909012.0  2227  0.889
    : 444909014.0  2036  0.884
    : 444909015.0  2171  0.869
    : 444909018.0  2120  0.828
    : 444909020.0  2335  0.849
    : 444909023.0  2318  0.858
    : 444909024.0  2566  0.878
    : 444909027.0  2769  0.886
    : 444909030.0  2206  0.840
    : 444909033.0  2087  0.828
    : 444909076.0  3060  0.906
    : 444909106.0  2035  0.818
    : 444909115.0  2608  0.865
    : 444909117.0  2433  0.858
    : 444909118.0  2004  0.879
    : 444909119.0  2644  0.898
    : 444909120.0  2039  0.865
    : 444909121.0  2593  0.917
    : 444909123.0  2153  0.851
    : 444909124.0  2525  0.890
    : 444909125.0  2182  0.879
    : 444909153.0  2350  0.838
    : 444909155.0  2082  0.819
    : 444909166.0  2094  0.843
    : 444909172.0  2295  0.840
    : 444909183.0  2307  0.855
    : 444909184.0  2486  0.858
    : 444909185.0  2003  0.829
    : 444909187.0  2412  0.845
    : 444909190.0  2922  0.875
    : 444909191.0  2280  0.876
    : 444909194.0  2845  0.889
    : 444909196.0  2354  0.944
    : 444909198.0  2350  0.844
    : 444909199.0  2455  0.911
    : 444909201.0  2018  0.834
    : 444909205.0  2009  0.798
    : 444909217.0  2022  0.801
    : 444909218.0  2613  0.953
    : 444909219.0  2500  0.964
    : 444909220.0  2247  0.923
    : 444909225.0  2068  0.829
    : 444909235.0  2017  0.812
    : 444909246.0  2229  0.856
    : 444909247.0  2361  0.935
    : 444909251.0  2350  0.876
    : 444909252.0  2105  0.911
    : 444909253.0  2330  0.906
    : 444909264.0  2272  0.853
    : 444909265.0  2073  0.874
    : 444909297.0  2068  0.812
    : 444909300.0  2073  0.807
    : 444909320.0  2683  0.877
    : 444909321.0  2824  0.935
    : 444909322.0  2470  0.922
    : 444909323.0  2324  0.896
    : 444909336.0  2569  0.871
    : 444909343.0  2342  0.847
    : 444909344.0  2404  0.878
    : 444909345.0  2356  0.881
    : 444909364.0  3220  0.907
    : 444909379.0  3900  0.978
    : 444909380.0  2452  1.000
    : 444909394.0  2570  0.887
    : 444909397.0  2662  0.884
    : 444909399.0  2380  0.847
    : 444909400.0  2756  0.951
    : 444909401.0  2303  0.972
    : 444909404.0  2570  0.856
    : 444909409.0  2453  0.863
    : 444909410.0  2187  0.840
    : 444909411.0  2129  0.871
    : 444909412.0  2733  0.888
    : 444909417.0  3153  0.932
    : 444909431.0  3066  0.912
    : 444909432.0  2365  0.933
    : 444909433.0  2606  0.968
    : 444909438.0  2658  0.879
    : 444909439.0  2283  0.929
    : 444909440.0  2091  0.899
    : 444909455.0  2067  0.856
    : 444909456.0  2075  0.841
    : 444909457.0  3267  0.958
    : 444909458.0  2331  0.894
    : 444909951.0  2295  0.858
    : 444909997.0  3027  0.986
    : 444910220.0  2054  0.832
    : 444910385.0  2441  0.877
    : 444910912.0  2392  0.866
    : 444910921.0  2176  0.865
    : 444910922.0  2410  0.922
    : 444910964.0  2829  0.899
    : 444910965.0  2991  0.932
    : 444910986.0  2699  0.896
    : 444911277.0  2129  0.845
    : 444911463.0  2562  0.865
    : 444911465.0  2311  0.887
    : 444911541.0  2097  0.865
    : 444911562.0  2046  0.853
    : 444911630.0  2288  0.869
    : 444911687.0  2326  0.857
    : 444911690.0  2348  0.874
    : 444911694.0  2161  0.853
    : 444911837.0  2035  0.830
    : 444911887.0  2641  0.864
    : 444911892.0  2238  0.835
    : 444912283.0  2404  0.876
    : 444912288.0  2598  0.869
    : 444912321.0  4355  0.970
    : 444912330.0  2727  0.883
    : 444912386.0  3095  0.893
    : 444912566.0  2101  0.854
    : 444912583.0  2612  0.875
    : 444912593.0  2860  0.948
    : 444912594.0  2672  0.993
    : 444912595.0  2860  0.994
    : 444913699.0  2686  0.894
    : 444913706.0  2722  0.881
    : 444913707.0  2463  0.917
    : 444913989.0  2658  0.893
    : 444913990.0  2199  0.900
    : 444913991.0  2590  0.912
    : 444914008.0  2985  0.912
    : 444914009.0  2079  0.893
    : 444914010.0  2371  0.892
    : 444914235.0  2394  0.830
    : 444914285.0  2163  0.784
    : 444914366.0  2150  0.907
    : 444914393.0  2188  0.881
    : 444914891.0  2147  0.784
    : 444915516.0  2165  0.847
    : 444915765.0  2224  0.862
    : 444915766.0  2622  0.945
    : 444915875.0  2500  0.867
    : 444915966.0  2234  0.848
    : 444915986.0  4614  0.972
    : 444915987.0  2612  0.991
    : 444915988.0  2685  0.999
    : 444915989.0  2575  0.976
    : 444916024.0  2620  0.912
    : 444916027.0  3247  0.954
    : 444916029.0  3022  0.987
    : 444916030.0  2762  0.987
    : 444916031.0  2631  0.989
    : 444916032.0  2570  0.996
    : 444916055.0  3559  0.937
    : 444916076.0  3449  0.909
    Total number of 1 second bins: 7568
    Bins with >0 counts          : 7332
    Bins with >2000 counts       : 186
    186 of 186 high count rate bins were dominated by noise
    Noise dominated 2.46% of total time, 2.54% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 2
    : Time   totcounts   fraction
    : 444909420.0  2152  0.848
    : 444909782.0  2785  0.870
    : 444909785.0  2771  0.893
    : 444909808.0  3283  0.926
    : 444909813.0  2886  0.894
    : 444911104.0  2548  0.873
    : 444911153.0  2745  0.910
    : 444912170.0  2290  0.845
    : 444912174.0  2251  0.859
    : 444912175.0  2360  0.854
    : 444912425.0  2658  0.897
    : 444912652.0  2191  0.802
    : 444912711.0  2077  0.836
    : 444912802.0  3658  0.930
    : 444912803.0  2853  0.988
    : 444912804.0  2523  0.915
    : 444913058.0  2947  0.880
    : 444913075.0  3334  0.898
    : 444913076.0  2668  0.981
    : 444913077.0  2549  0.923
    : 444913078.0  2534  0.936
    : 444913174.0  2508  0.890
    : 444913176.0  2751  0.875
    : 444913178.0  3517  0.914
    : 444913190.0  2340  0.854
    : 444913192.0  2270  0.829
    : 444913193.0  2443  0.931
    : 444913194.0  2869  0.966
    : 444913195.0  3010  1.000
    : 444913196.0  2887  0.973
    : 444913198.0  3368  0.958
    : 444913199.0  2601  0.953
    : 444913200.0  2716  0.952
    : 444913201.0  2597  0.951
    : 444913203.0  2837  0.884
    : 444913204.0  2016  0.873
    : 444913210.0  2009  0.890
    : 444913212.0  2723  0.934
    : 444913213.0  2498  0.914
    : 444913214.0  2365  0.907
    : 444913215.0  2766  0.941
    : 444913216.0  2596  0.930
    : 444913217.0  2112  0.893
    : 444913218.0  2938  0.891
    : 444913219.0  2340  0.920
    : 444913221.0  2705  0.930
    : 444913222.0  2625  0.915
    : 444913223.0  2289  0.925
    : 444913224.0  2715  0.956
    : 444913225.0  2351  0.923
    : 444913226.0  2476  0.914
    : 444913227.0  2351  0.905
    : 444913228.0  2288  0.897
    : 444913229.0  2128  0.872
    : 444913230.0  2386  0.889
    : 444913231.0  3068  0.901
    : 444913232.0  2684  0.914
    : 444913233.0  2725  0.934
    : 444913234.0  2686  0.937
    : 444913235.0  2645  0.918
    : 444913243.0  3005  0.916
    : 444913245.0  2688  0.875
    : 444913246.0  2306  0.918
    : 444913247.0  2592  0.933
    : 444913248.0  2410  0.915
    : 444913249.0  2535  0.934
    : 444913250.0  2534  0.940
    : 444913251.0  2471  0.907
    : 444913252.0  2556  0.923
    : 444913253.0  2402  0.916
    : 444913255.0  2290  0.878
    : 444913256.0  2598  0.897
    : 444913257.0  3022  0.912
    : 444913258.0  2558  0.938
    : 444913262.0  2384  0.870
    : 444913263.0  2403  0.920
    : 444913264.0  2761  0.912
    : 444913265.0  2432  0.898
    : 444913267.0  2657  0.890
    : 444913268.0  2238  0.908
    : 444913269.0  2373  0.895
    : 444913270.0  2575  0.928
    : 444913271.0  2403  0.915
    : 444913272.0  2278  0.909
    : 444913273.0  2432  0.892
    : 444913274.0  2439  0.902
    : 444913275.0  2688  0.933
    : 444913276.0  2072  0.892
    : 444913278.0  3254  0.899
    : 444913279.0  2169  0.847
    : 444913280.0  2879  0.922
    : 444913281.0  2253  0.915
    : 444913282.0  2519  0.923
    : 444913283.0  2564  0.931
    : 444913284.0  2778  0.970
    : 444913285.0  2513  0.922
    : 444913286.0  2447  0.915
    : 444913287.0  2189  0.894
    : 444913288.0  2576  0.899
    : 444913289.0  2952  0.920
    : 444913290.0  2453  0.909
    : 444913291.0  2226  0.927
    : 444913292.0  2653  0.949
    : 444913293.0  2329  0.916
    : 444913294.0  2405  0.935
    : 444913296.0  2561  0.873
    : 444913297.0  2335  0.890
    : 444913299.0  3104  0.899
    : 444913300.0  2540  0.917
    : 444913301.0  2595  0.925
    : 444913302.0  2661  0.941
    : 444913303.0  2363  0.911
    : 444913305.0  2474  0.879
    : 444913306.0  3059  0.945
    : 444913307.0  2553  0.908
    : 444913308.0  2398  0.901
    : 444913310.0  2095  0.867
    : 444913312.0  2869  0.886
    : 444913362.0  3222  0.905
    : 444913364.0  2461  0.902
    : 444913365.0  2332  0.906
    : 444913366.0  2107  0.894
    : 444913367.0  2708  0.947
    : 444913368.0  2103  0.870
    : 444913369.0  2346  0.891
    : 444913370.0  2629  0.901
    : 444913371.0  2514  0.893
    : 444913372.0  2876  0.913
    : 444913373.0  2293  0.894
    : 444913374.0  2530  0.904
    : 444913375.0  2545  0.920
    : 444913376.0  2423  0.928
    : 444913377.0  2658  0.917
    : 444913378.0  2403  0.903
    : 444913379.0  2015  0.885
    : 444913380.0  3129  0.908
    : 444913381.0  2813  0.920
    : 444913382.0  2325  0.926
    : 444913383.0  2406  0.898
    : 444913384.0  2662  0.918
    : 444913385.0  2663  0.927
    : 444913386.0  2507  0.906
    : 444913387.0  2762  0.931
    : 444913388.0  2557  0.919
    : 444913389.0  2202  0.891
    : 444913390.0  2133  0.877
    : 444913391.0  2205  0.858
    : 444913392.0  2189  0.839
    : 444913393.0  2106  0.849
    : 444913394.0  2697  0.883
    : 444913395.0  2839  0.950
    : 444913396.0  2764  0.921
    : 444913397.0  2397  0.934
    : 444913398.0  2293  0.905
    : 444913400.0  3225  0.904
    : 444913401.0  2336  0.903
    : 444913402.0  2390  0.896
    : 444913403.0  2068  0.871
    : 444913404.0  2932  0.870
    : 444913405.0  2154  0.913
    : 444913406.0  2086  0.862
    : 444913407.0  3256  0.922
    : 444913408.0  2043  0.867
    : 444913414.0  2933  0.886
    : 444913415.0  3317  0.927
    : 444913416.0  2027  0.891
    : 444913417.0  2399  0.853
    : 444913418.0  2245  0.888
    : 444913419.0  2897  0.881
    : 444913420.0  2055  0.869
    : 444913421.0  2225  0.854
    : 444913422.0  2708  0.883
    : 444913423.0  2458  0.891
    : 444913424.0  2452  0.867
    : 444913425.0  3252  0.921
    : 444913426.0  2354  0.903
    : 444913428.0  2830  0.976
    : 444913429.0  2496  0.952
    : 444913430.0  2712  0.981
    : 444913431.0  2512  0.960
    : 444913432.0  2212  0.953
    : 444913433.0  2700  0.979
    : 444913434.0  2787  0.977
    : 444913435.0  2809  0.957
    : 444913436.0  2846  0.997
    : 444913437.0  2798  0.968
    : 444913438.0  2552  0.953
    : 444913439.0  2792  0.967
    : 444913440.0  2897  0.967
    : 444913441.0  2532  0.969
    : 444913442.0  2816  0.984
    : 444913443.0  2850  0.968
    : 444913444.0  2904  0.966
    : 444913445.0  2738  0.953
    : 444913446.0  2417  0.959
    : 444913447.0  2563  0.978
    : 444913448.0  2857  0.971
    : 444913449.0  2443  0.911
    : 444913451.0  2958  0.893
    : 444913452.0  2618  0.914
    : 444913453.0  2756  0.959
    : 444913454.0  2128  0.979
    : 444913455.0  2697  0.960
    : 444913456.0  2587  0.945
    : 444913457.0  2671  0.970
    : 444913458.0  2718  0.951
    : 444913459.0  2147  0.912
    : 444913460.0  2756  0.953
    : 444913461.0  2777  0.977
    : 444913462.0  2513  0.899
    : 444913463.0  2907  0.976
    : 444913464.0  2786  0.952
    : 444913465.0  2564  0.959
    : 444913466.0  2511  0.944
    : 444913467.0  2350  0.956
    : 444913468.0  2904  0.982
    : 444913469.0  2547  0.952
    : 444913470.0  2706  0.979
    : 444913471.0  2784  0.961
    : 444913472.0  2704  0.949
    : 444913473.0  2848  0.974
    : 444913474.0  2572  0.925
    : 444913475.0  2682  0.957
    : 444913476.0  2518  0.923
    : 444913477.0  2774  0.967
    : 444913479.0  2126  0.895
    : 444913480.0  2756  0.976
    : 444913481.0  2394  0.905
    : 444913482.0  2416  0.913
    : 444913483.0  2831  0.976
    : 444913484.0  2534  0.903
    : 444913485.0  2908  0.985
    : 444913486.0  2858  0.963
    : 444913488.0  3621  0.977
    : 444913489.0  2837  0.968
    : 444913490.0  2637  0.952
    : 444913491.0  2758  0.962
    : 444913492.0  2607  0.929
    : 444913493.0  2490  0.935
    : 444913494.0  2169  0.898
    : 444913495.0  2303  0.908
    : 444913496.0  2597  0.942
    : 444913497.0  2612  0.925
    : 444913498.0  2581  0.905
    : 444913500.0  3172  0.911
    : 444913501.0  2610  0.967
    : 444913502.0  2858  0.960
    : 444913503.0  2657  0.966
    : 444913504.0  2202  0.901
    : 444913505.0  2491  0.950
    : 444913506.0  2718  0.955
    : 444913507.0  2898  0.991
    : 444913508.0  2528  0.941
    : 444913509.0  2655  0.962
    : 444913510.0  2796  0.948
    : 444913511.0  2384  0.962
    : 444913512.0  2063  0.917
    : 444913514.0  2949  0.925
    : 444913515.0  2607  0.939
    : 444913516.0  2665  0.952
    : 444913517.0  2540  0.969
    : 444913518.0  2459  0.944
    : 444913519.0  2557  0.964
    : 444913520.0  2521  0.904
    : 444913521.0  2939  0.957
    : 444913522.0  2610  0.939
    : 444913523.0  2824  0.970
    : 444913524.0  2452  0.930
    : 444913526.0  2954  0.912
    : 444913527.0  2067  0.890
    : 444913528.0  3134  0.946
    : 444913534.0  3670  0.981
    : 444913535.0  2842  0.981
    : 444913536.0  2816  0.988
    : 444913537.0  2696  0.981
    : 444913538.0  2335  0.944
    : 444913539.0  2945  0.992
    : 444913540.0  2546  0.936
    : 444913541.0  2782  0.955
    : 444913542.0  2365  0.910
    : 444913543.0  2731  0.983
    : 444913544.0  2708  0.976
    : 444913545.0  2944  0.974
    : 444913546.0  2686  0.981
    : 444913547.0  2806  0.973
    : 444913548.0  2873  0.976
    : 444913549.0  2519  0.924
    : 444913551.0  3200  0.975
    : 444913552.0  2767  0.970
    : 444913553.0  2498  0.942
    : 444913555.0  2273  0.897
    : 444913556.0  2791  0.965
    : 444913557.0  2653  0.973
    : 444913558.0  2802  0.980
    : 444913559.0  2907  0.988
    : 444913561.0  2489  0.875
    : 444913570.0  2961  0.904
    : 444913576.0  2659  0.866
    : 444913578.0  2343  0.863
    : 444913579.0  2522  0.861
    : 444913586.0  2209  0.864
    : 444913587.0  2566  0.868
    : 444913604.0  2738  0.874
    : 444913606.0  2605  0.864
    : 444913610.0  2789  0.879
    : 444913612.0  3007  0.902
    : 444913613.0  2296  0.939
    : 444913614.0  2511  0.978
    : 444913618.0  3598  0.929
    : 444913619.0  2171  0.873
    : 444914265.0  2175  0.772
    : 444914266.0  2014  0.750
    : 444914268.0  2440  0.794
    Total number of 1 second bins: 7569
    Bins with >0 counts          : 7334
    Bins with >2000 counts       : 313
    313 of 313 high count rate bins were dominated by noise
    Noise dominated 4.14% of total time, 4.27% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 3
    : Time   totcounts   fraction
    Total number of 1 second bins: 24
    Bins with >0 counts          : 24
    Bins with >2000 counts       : 0
    0 of 0 high count rate bins were dominated by noise
    Noise dominated 0.00% of total time, 0.00% of detector on time (defined as non-zero counts)